Modeling the Power Spectra of Active Galaxies with Markov Chain Monte Carlo

Details Modeling the Power Spectra of Active Galaxies with Markov Chain Monte Carlo Modeling the Power Spectra of Active Galaxies with Markov Chain Monte Carlo

Jan 2012

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21924310m&link_type=abstract

American Astronomical Society, AAS Meeting #219, #243.10

Astronomy and Astrophysics

Astronomy

Scientific paper

It is now well established that the power spectra of most active galaxies can be fit by a broken power law, with a break frequency that depends on both mass and accretion rate. Fitting the power spectrum and establishing appropriate error bars for the parameters is an intensive and time-consuming process, involving extensive Monte Carlo simulations to fit over a grid of paramters. Here we present a Markov Chain Monte Carlo (MCMC) method for fitting the power spectra, which allows for an appropriate estimation of both the best-fit values and their errors. Results are presented for the X-ray light curves of several objects, and comparisons are made to previous efforts in terms of accuracy.

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